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Keyword extraction is tasked with the automatic identification of terms that best describe the subject of a document (Source: Wikipedia).

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Greatest papers with code

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

15 Jul 2019SkBlaz/rakun

Keyword extraction is used for summarizing the content of a document and supports efficient document retrieval, and is as such an indispensable part of modern text-based systems.

KEYWORD EXTRACTION

Efficient Generation and Processing of Word Co-occurrence Networks Using corpus2graph

WS 2018 zzcoolj/corpus2graph

Corpus2graph is an open-source NLP-application-oriented tool that generates a word co-occurrence network from a large corpus.

KEYWORD EXTRACTION

sCAKE: Semantic Connectivity Aware Keyword Extraction

27 Nov 2018SDuari/sCAKE-in-Python

Combination of the proposed graph construction and scoring methods leads to a novel, parameterless keyword extraction method (sCAKE) based on semantic connectivity of words in the document.

GRAPH CONSTRUCTION KEYWORD EXTRACTION

Complex Network based Supervised Keyword Extractor

26 Sep 2019SDuari/Supervised-Keyword-Extraction

This shows that the proposed method is independent of the domain, collection, and language of the training corpora.

KEYWORD EXTRACTION

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events

4 Jan 2021fangleai/Outline2Story

Our paper is among the first ones by our knowledge to propose a model and to create datasets for the task of "outline to story".

KEYWORD EXTRACTION LANGUAGE MODELLING TEXT GENERATION

ELSKE: Efficient Large-Scale Keyphrase Extraction

10 Feb 2021johpro/elske

Keyphrase extraction methods can provide insights into large collections of documents such as social media posts.

INFORMATION RETRIEVAL KEYWORD EXTRACTION MULTI-DOCUMENT SUMMARIZATION

TNT-KID: Transformer-based Neural Tagger for Keyword Identification

20 Mar 2020matej.martinc/tnt_kid

With growing amounts of available textual data, development of algorithms capable of automatic analysis, categorization and summarization of these data has become a necessity.

KEYWORD EXTRACTION LANGUAGE MODELLING

Semantic Sensitive TF-IDF to Determine Word Relevance in Documents

6 Jan 2020vfcarida/Semantic-Sensitive-TF-IDF-to-Determine-Word-Relevance-in-Documents

Keyword extraction has received an increasing attention as an important research topic which can lead to have advancements in diverse applications such as document context categorization, text indexing and document classification.

DOCUMENT CLASSIFICATION KEYWORD EXTRACTION WORD EMBEDDINGS